Alternatives to cirq
50 AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
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openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B

batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I

implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F

frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning

finishing-a-development-branch
Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About cirq

cirq
Google quantum computing framework
cirq is an agent skill for Cirq, Google Quantum AI's open-source Python framework for designing, simulating and running quantum circuits on quantum computers and simulators. It is for building, simulating and optimising near-term quantum circuits, for running jobs on Google Quantum AI processors through the cirq-google package, and for working with partner backends such as IonQ, Azure Quantum, AQT and Pasqal. It also covers modelling noise, compiling to hardware gatesets, designing characterisation experiments, parameter sweeps, transformers and the ReCirq experiment patterns. The skill points elsewhere for other needs: IBM hardware is better served by Qiskit, quantum machine learning with autodiff by PennyLane, and physics simulations by QuTiP. Its examples target Cirq 1.7.0 on Python 3.11 or newer. The skill advises keeping Cirq vendor packages on the matching release, and it notes that independently versioned integrations, such as Azure Quantum, need their own compatibility check. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/cirq
